--- tags: - generated_from_trainer model-index: - name: myBit-Llama2-jp-127M-test-22 results: [] --- # myBit-Llama2-jp-127M-test-22 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.2873 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0024 - train_batch_size: 96 - eval_batch_size: 96 - seed: 42 - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 6.6769 | 0.07 | 200 | 4.8196 | | 4.5597 | 0.15 | 400 | 4.3498 | | 4.2488 | 0.22 | 600 | 4.1370 | | 4.0532 | 0.3 | 800 | 3.9697 | | 3.8853 | 0.37 | 1000 | 3.8421 | | 3.7717 | 0.44 | 1200 | 3.7803 | | 3.7344 | 0.52 | 1400 | 3.6853 | | 3.6251 | 0.59 | 1600 | 3.5971 | | 3.5422 | 0.67 | 1800 | 3.5172 | | 3.4612 | 0.74 | 2000 | 3.4454 | | 3.396 | 0.82 | 2200 | 3.3897 | | 3.3383 | 0.89 | 2400 | 3.3336 | | 3.289 | 0.96 | 2600 | 3.2873 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2